Threading Zmax Znorm MUSTER 6.89 1.19 dPPAS 9.59 1.03 wdPPAS 13.04 1.40 wMUSTER 8.03 1.38 wPPAS 15.60 2.23 dPPAS2 17.40 1.66 PPAS 13.86 1.98 Env-PPAS 10.91 1.36 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=11295) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 -3.28 0.35+-0.12 16.0+-3.1 1711 0.025 model2 -3.50 1299 0.020 model3 -3.77 753 0.015 model4 -4.15 761 0.010 model5 -4.04 734 0.012 C-score is a confidence score of the I-TASSER predictions which is typically in [-5,2]. TM-score and RMSD measure how close the model is to the native structure and both are estimated based on the C-score. TM-score is in [0,1] with a value >0.5 implying the model of correct topology. The TM-score and RMSD estimations are made only for the first model because absolute values of TM-score and RMSD for the lower-rank models do not strongly correlate with the C-score. The models are ranked based on the structure density of I-TASSER simulations. Please cite following articles when you use the I-TASSER Suite: 1. Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9: 40 (2008). 2. A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010). 3. J Yang, A Roy, Y Zhang. Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment. Bioinformatics, 29:2588-2595 (2013).